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Digital Odyssey 2015 - Open Collections

Cultural heritage organizations are collaborating with community partners to tell history in innovative and interactive ways.
How do we design workflows to capture community content, how can we share content “sustainably”, and why does it matter? This session will focus on best practices for gathering community contributions whether you’re collaborating in a physical space or virtually. We’ll share some “lessons learned” on working with cultural heritage data.

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Digital Odyssey 2015 - Open Collections

  1. 1. Creating and Collecting “Open” Cultural Heritage Collections Loren Fantin and Jess Posgate Digital Odyssey 2015
  2. 2. Agenda Introduction Best practices for cultural heritage collections Community collections in action ** Ask questions anytime ** Break at some point
  3. 3. What is Open Data? An idea. A principle. “Open means anyone can freely access, use, modify and share for any purpose (subject, at most, to requirements that preserve provenance and openness).”
  4. 4. Open Data Portals
  5. 5. Cultural data “exports”
  6. 6. Cultural data “apps”
  7. 7. Creating value
  8. 8. How does open relate to cultural heritage collections? Or… Why does it matter to us? We manage (create/collect) our collections in a networked environment – it is shared and distributed (“web-scaled”) “Our role is to be cultural stewards (not cultural hoarders).” [Tweet]
  9. 9. Repurpose, re-use of data Create once, use many times in different spaces requires: Smart data (structured, linked) and Data portability (export, crosswalks, permissions)
  10. 10. Act locally, think globally
  11. 11. Q: How many of you re-use the data from your content management systems in other places/spaces? Q: Can you easily export data from the systems/spaces yourselves?
  12. 12. “Metadata is a love note to the future” Christine Orr
  13. 13. Metadata Requirements • Data you create/capture (descriptive, administrative, structural, technical) needs to be “smart”: – Standard (community, content, etc…) – Shared (exportable) – Extensible (in various data formats)
  14. 14. Locally: Metadata Application Profile • Data elements to be included • Status of each element: - Mandatory - Recommended - Optional
  15. 15. Definition of how each element is used or completed, e.g. Media Type:
  16. 16. Metadata Output
  17. 17. Metadata = more options
  18. 18. Source data
  19. 19. Data is “messy” •Description is very subjective •Social media isn’t helping with “tagging” •Let’s try it…
  20. 20. o Audio o Genealogical Resource o Image o Newspaper o Publication o Text o Video
  21. 21. o Audio o Genealogical Resource o Image o Newspaper o Publication o Text o Video
  22. 22. Other Standards & Best Practices Extensibility goes beyond metadata •Open formats •Linked data •Platform choices
  23. 23. Data quality & transformation •Exportable data •Manipulate data •Systemic vs human •What does it take…? Consider migration
  24. 24. File formats CSV vs. XSL TIFF, JPG vs. Photoshop (PSD) TXT vs. DOC MPEG-4 vs. Quicktime
  25. 25. Hugh’s Postcard (& Photo) Collection: “Bridge at Stoney River”.tif HCMA_LPC_20100103_00001.ti f (<32 characters) File Naming: Best Practices Bad file name Good file name
  26. 26. Unique (Resource Identifier) (URI) •As part of metadata, need a way to uniquely identify the resource •Needs to be identifiable outside of the context in which the record was created, as part of the web ecosystem •Essential component for linked open data
  27. 27. URLs (Semantic aka “Clean”) “We strongly believe in the URL as interface. It’s nice to be able to read a URL and guess what it might bring back.”
  28. 28. Platform (Tools) • Cloud based or hosted? • Open source or proprietary? • Interactive options for community engagement? • Optimized for web discovery and devices (semantic web)? • Exportable options?
  29. 29. Good data management If the data you need still exists, If you found the data you need, If you understand the data you found, If you trust the data you understand, If you can use the data you trust; Someone did a good job of data management. Rex Sanders – USGS – Santa Cruz
  30. 30. Public expectations and re-use “People assume the right to co-opt and redistribute institutional content, not just to look at it. They seek opportunities for creative expression, both self-directed and in response to the media they consume. They want to be respected and responded to because of their unique interests. They crave the chance to be recognized by and connected to sympathetic communities around the world. These shifts will change the way that cultural institutions of all types, from museums to libraries to for- profit ‘experience vendors,’ do business.”
  31. 31. Copyright • Determine copyright status of EVERY object – Ownership vs. copyright • Internal tracking – Track copyright status, copyright owner, donor, etc. (include as part of the metadata record) • Copyright statement displayed as part of the record
  32. 32. Copyright Creative Commons Citation
  33. 33. Creative Commons • Creative Commons develops, supports, and stewards legal and technical infrastructure that maximizes digital creativity, sharing, and innovation. • Assign Creative Commons licenses to indicate to users how they can share, remix, or use objects from the collection in ways that are consistent with the copyright status
  34. 34. Searching via permissions
  35. 35. Evolving rights framework Flickr offering Creative Commons licensing since 2004 1) option of being able to tag an item as being in the Public Domain 2) CC0 – waive copyright and place in the public domain
  36. 36. Creative Commons: Choose a license tool
  37. 37. Community collections in practice… Cultural heritage collections contribute to public memory by building the “community” archive. Crowdsourcing around those collections invites meaningful community and civic engagement.
  38. 38. A real-life tale
  39. 39. Capturing community collections •Analog scanning via digitization days •Web uploads of individual items •Curating community contributions
  40. 40. “Community” archives
  41. 41. Photo by David Carson,
  42. 42. Capturing community knowledge •Comments •Questions •Crowdsourcing metadata via tools and transcriptions
  43. 43. Comments
  44. 44. Metadata capture from the crowd: form
  45. 45. Augmenting metadata
  46. 46. Transcription
  47. 47. Metadata capture •Capture as much data as you can at the moment •Adhere to standards •Use a template or form •Enrich the metadata being captured
  48. 48. Terms and permissions
  49. 49. “Standard” permissions
  50. 50.  Permissions and Rights •You need the correct set of rights at moment of contribution •Have options in your agreement •Either written permission or I agree checkmark •In plain language so contributor understands what they are agreeing to •Adhere to standards like Creative Commons
  51. 51. Communities/Collaboration/Engagement
  52. 52. Collaboration and Engagement Benefits • Achieve goals your organization couldn’t achieve on its own • Engage with the community in new ways • Use the expertise and knowledge of the “crowd” • Improve data – improve the quality, add additional information, make it searchable • Allow community to engage with the collections and each other in new ways
  53. 53. Open heritage is… • Trusting • Participatory • Connections between collections (data) between collections and people between people around our collections • Sustainable
  54. 54. Resources A Framework of Guidance for Building Good Digital Collections: mework3.pdf Normalizing data: File naming: CDL Digital File Format Recommendations:
  55. 55. Resources continued Data Management: id=4389852 Linked Open Data – What is it? (Video): Canadian Copyright FAQ: for-canadian-copyright/
  56. 56. Loren Fantin: Jess Posgate: Thank you!